Skip to main content

Combining geostatistical and bayesian methods to improve the scientific basis for the management of atlantic mackerel fisheries

Objective

OBJECTIVES AND EXPECTED ACHIEVEMENTS
The main objectives of the project are: to combine geostatistical and Bayesian statistical methods to improve the scientific basis for the management of Atlantic mackerel stocks, to apply Bayesian decision theory to evaluate the potential consequences for fishery management of applying both total allowable catch (TAC) and spatial controls, and to assess the information gathering requirements of these controls.

Atlantic mackerel fisheries are economically important with annual catches in EU waters of about 500,000 t and gross landed values of approximately 50 million Euros. A major tool for the assessment of these stocks which forms the main scientific basis for these fisheries management is a trienial survey of- pelagic mackerel eggs. From these surveys, absolute estimates of spawner abundance are obtained.

Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
Address
Prince Consort Road
London
United Kingdom

Participants (3)

FINNISH GAME AND FISHERIES RESEARCH INSTITUTE
Finland
Address
Pukinmäenaukio 4
Helsinki
FISHERIES RESEARCH SERVICES
United Kingdom
Address
Victoria Road, 375
Aberdeen
UNIVERSITY OF HELSINKI
Finland
Address
Po Box 27 (E-building) Latokartanonkaari 3
Helsinki